308 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Newcastle University" positions at Monash University in Australia
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, and their decisions can be confusing due to brittleness, there is a critical need to understand their behaviour, analyse the (potential) failures of the models (or the data used to train them), debug
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using data extracted from software repositories. This fine-tuning process aims to enable the models to provide answers to queries related to software development tasks. Examples of such queries include
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the observer. Active Goal Recognition extends Goal Recognition by also assigning the data collection task to the observer. This Ph.D. project will provide a unified probabilistic and decision-theoretic
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resource for individuals seeking assistance, information, and guidance related to addiction and mental health concerns. The helplines at Turning Point are staffed by trained professionals who offer
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. This work combines computational modelling and simulation with biological experiments that are analysed using cutting-edge computer vision techniques. We collaborate closely with Macquarie University where
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known human reasoning difficulties and fallacies. It will also investigate how to reduce human cognitive load by prioritising the most useful information for the user. Expected outcomes include novel AI
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combination of multi-wavelength observational data with sophisticated simulations. I am a member of various collaborations, including Australia's OzGrav Centre of Excellence for Gravitational-wave Discovery
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reconstruction and data analysis. The PhD students will be working at Monash Biomedical Imaging and Faculty of Information Technology, Monash University. Monash Biomedical Imaging is one of the most advanced
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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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paradigms rely on a fragile "closed-world" assumption: that the unlabeled pool perfectly reflects the distribution of the labelled seed set. In real-world deployments, this is rarely true. Data streams